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Graduate Quantitative Researcher, PhD (2027 Start)

GraduateVisa sponsorship available
Optiver logo

at Optiver

Proprietary Trading

Posted 3 days ago

No clicks

This employer did not include a short summary.

Compensation
Not specified

Currency: Not specified

City
Austin, Chicago
Country
United States

Full Job Description

Back to Quantitative Research & Machine Learning jobs in Austin

Graduate Quantitative Researcher, PhD (2027 Start)

Level

Graduate

Location

Austin

Department

Quantitative Research & Machine Learning

As a Graduate Quantitative Researcher, youll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, youll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities. 

Research at Optiver is highly applied and end-to-end. Youll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, youll transform insights into solutions that directly influence how we trade. 

This opportunity is also available in our

Chicago
office.

What Youll Do: 

Your onboarding 

Youll participate in 

Global Optiver Academy
, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business. 

Your responsibilities 

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What Youll Get:  

Youll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, youll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, youll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • Highly competitive compensation package 
  • Global profit-sharing pool and performance-based bonus structure 
  • 401(k) match up to 50% 
  • Comprehensive health, mental, dental, vision, disability, and life coverage 
  • 25 paid vacation days alongside market holidays 
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect: 

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, youll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer. 

Who You Are: 

  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements 
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period. 

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Graduate Quantitative Researcher, PhD (2027 Start)

Compensation

Not specified

City: Austin, Chicago

Country: United States

Optiver logo
Proprietary Trading

3 days ago

No clicks

at Optiver

GraduateVisa sponsorship available

This employer did not include a short summary.

Full Job Description

Back to Quantitative Research & Machine Learning jobs in Austin

Graduate Quantitative Researcher, PhD (2027 Start)

Level

Graduate

Location

Austin

Department

Quantitative Research & Machine Learning

As a Graduate Quantitative Researcher, youll tackle some of the most challenging quantitative problems in global financial markets. Working alongside researchers, engineers, and traders, youll analyze large-scale datasets, develop predictive models and algorithms, and apply statistical and machine learning techniques to better understand market behavior and identify trading opportunities. 

Research at Optiver is highly applied and end-to-end. Youll frame research questions, test hypotheses, develop and validate models, and see your ideas evaluated in live market environments. Combining rigorous scientific thinking with modern AI-enabled research infrastructure, youll transform insights into solutions that directly influence how we trade. 

This opportunity is also available in our

Chicago
office.

What Youll Do: 

Your onboarding 

Youll participate in 

Global Optiver Academy
, a structure onboarding program for graduates. It gives new joiners a shared foundation in how Optiver trades, builds systems, and manages risk before they move into their teams. As part of your onboarding, you'll gain exposure to the AI tools and technologies that support research and development across the business. 

Your responsibilities 

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: 

  • Develop predictive models and machine learning systems to better understand market behavior and identify trading opportunities 
  • Analyze large-scale market and order-flow data to uncover signals, evaluate hypotheses, and improve trading performance 
  • Build and test statistical and stochastic models for pricing, forecasting, and risk management 
  • Apply modern research techniques, including deep learning and AI-enabled workflows, to accelerate discovery and improve research efficiency 

What Youll Get:  

Youll join a culture of collaboration, continuous improvement, and excellence, surrounded by curious thinkers and creative problem-solvers. Together, youll tackle some of the toughest challenges in the financial markets by leveraging cutting-edge machine learning research to develop innovative, real-world solutions. 

In addition, youll receive: 

  • The opportunity to work alongside best-in-class professionals from over 40 different countries 
  • Highly competitive compensation package 
  • Global profit-sharing pool and performance-based bonus structure 
  • 401(k) match up to 50% 
  • Comprehensive health, mental, dental, vision, disability, and life coverage 
  • 25 paid vacation days alongside market holidays 
  • Extensive office perks, including breakfast, lunch, snacks, regular social events, clubs, sporting leagues, and more 

What To Expect: 

As part of our assessment process, you may be invited to participate in a multi-day, on-site evaluative program. Through hands-on workshops, technical discussions, and direct exposure to our researchers and traders, youll gain insight into how research is applied at Optiver and how PhD students transition successfully into industry. Attendance and successful completion of this program may be required to receive an internship offer. 

Who You Are: 

  • PhD in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field, with outstanding academic achievements 
  • Expected to graduate by mid-2027 and available to start full-time employment upon graduation 
  • Solid foundation in mathematics, probability, and statistics 
  • Excellent research, analytical, and modeling skills 
  • Experience applying machine learning methods to real-world research problems, such as time-series analysis, prediction, forecasting, pattern recognition, optimization, or decision-making 
  • Proficiency in any programming language 
  • Strong interest in working in a fast-paced, collaborative environment 
  • Fluent in English with strong written and verbal communication skills 

Who We Are:  

Optiver is a leading technology- and research-driven trading firm. Our teams of scientists, engineers, mathematicians, and traders work side by side to develop, test, and scale ideas that shape how we understand and trade global markets. Powered by a global platform built for rapid experimentation and iteration, we combine the scientific rigor of a research institution with the pace of a technology company. 

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics. 

Optiver is supportive of US immigration sponsorship for this role. 

 

*Optiver has a global application re-apply policy for our intern and graduate roles. If you have completed an online assessment or interviewed for a quantitative graduate or internship role at any Optiver location in the past 8 months, please note that you are not yet eligible to reapply. We welcome you to re-apply to after the 8-month cool off period. 

Open positions

  • Data Centre Engineer

    Shanghai

    Experienced
    Technology
    Experienced
    Technology
  • Senior Software Engineer

    Shanghai

    Experienced
    Technology
    Experienced
    Technology
  • Senior C++ Developer

    Shanghai

    Experienced
    Technology
    Experienced
    Technology
Explore all open roles